At a Glance
- Tasks: Manage and analyse data to drive strategic decision-making and support business growth.
- Company: Join a forward-thinking organisation with a collaborative and inclusive culture.
- Benefits: Gain valuable experience, develop your skills, and contribute to impactful projects.
- Other info: Stay updated with the latest trends in data analytics and enjoy excellent growth opportunities.
- Why this job: Make a real difference by providing insights that shape key business initiatives.
- Qualifications: Experience in data management, analysis, and collaboration with cross-functional teams.
The predicted salary is between 40000 - 45000 £ per year.
Our client offers a collaborative and inclusive environment, with opportunities for growth in a forward-thinking organisation. As a Data Analyst in the Business Development team, you’ll be responsible for managing and analysing data, automating reports and providing insights that drive strategic decision-making. Your work will support key business initiatives and contribute to the firm’s growth.
The Responsibilities:
- The candidate will be responsible for gathering, organising, and managing data from multiple sources to ensure its accuracy and reliability for analysis.
- They will collaborate closely with the operations and planning team to understand the requirements for data analytics and process mapping.
- The role involves analysing data to identify trends, insights, and opportunities for quick wins that can drive action within the function.
- The candidate will work with internal teams to identify data sources, define the steps for reporting, and design scalable solutions for automating reports.
- They will collaborate with Data Visualisation Designers and Analysts to ensure that the data and reporting requirements are clearly defined for development.
- Part of the role includes sharing the outputs of their analysis with relevant stakeholders, incorporating feedback, and refining the analysis as needed.
- The individual will stay updated with the latest trends, tools, and methodologies in data analytics, continually seeking to improve the quality and impact of their work.
- Maintaining data integrity and adhering to data governance standards is essential, as is ensuring that all processes follow best practices for accuracy and reliability.
The Candidate:
- The ideal candidate should have solid experience in collecting, cleaning, and managing data from various diverse sources, ensuring it is both accurate and reliable.
- They should have a strong background in data and reporting workflow process mapping, including the ability to perform detailed data forensics when needed.
- The candidate must be comfortable working with both structured and unstructured data and have the ability to handle complex datasets effectively.
- The individual should have demonstrated experience in collaborating with cross-functional teams to define data needs, reporting processes, and automation steps for scalable reporting.
- Familiarity with data visualisation principles is important, and experience working alongside dashboard developers or data designers is a plus.
- A strong proficiency in data analysis tools and techniques, such as Excel, SQL, Python, R, Power BI, or Tableau, is essential.
Data Analyst 6 Month FTC in City of London employer: Blue Legal
Blue Legal is an excellent employer, offering a dynamic work environment in the heart of the City of London. With a strong focus on employee development, including support for SQE preparation, the firm fosters a culture of growth and collaboration, ensuring that team members are well-equipped to excel in their roles. The commitment to compliance and operational excellence, combined with a supportive atmosphere, makes this law firm a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst 6 Month FTC in City of London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Blue Legal before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Blue Legal.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Blue Legal.
We think you need these skills to ace Data Analyst 6 Month FTC in City of London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Blue Legal, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Blue Legal, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Blue Legal’s attention and show the tangible impact of your work.
How to prepare for a job interview at Blue Legal
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Blue Legal.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Blue Legal.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Blue Legal.
